Information Retrieval: A Survey

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b-c U3hg0Information Retrieval: A Survey
5y bGSu9N/`*g n030 November 2000自然语言处理与信息检索共享平台7L$b$y{:umR`"SG
by自然语言处理与信息检索共享平台pr8rDm c
Ed Greengrass自然语言处理与信息检索共享平台/W\G6i M1S~#o
Abstract
j,B&yaO \.v0Information Retrieval (IR) is the discipline that deals with retrieval of unstructured
z x4iI`1O0data, especially textual documents, in response to a query or topic statement, which
k}oX0p4qW0may itself be unstructured, e.g., a sentence or even another document, or which may
Q.E??z+[u+Q0be structured, e.g., a boolean expression. The need for effective methods of automated
|0Dfo)MC0IR has grown in importance because of the tremendous explosion in the自然语言处理与信息检索共享平台)yFN)c&b@ vVE_'[ f
amount of unstructured data, both internal, corporate document collections, and the自然语言处理与信息检索共享平台5v(Q~&y6l-A7Re+O-q
immense and growing number of document sources on the Internet. This report is a
_ W'XZwV0tutorial and survey of the state of the art, both research and commercial, in this自然语言处理与信息检索共享平台;`'u*fGf
dynamic field. The topics covered include: formulation of structured and unstructured自然语言处理与信息检索共享平台R4pdE7F,p v*j8U
queries and topic statements, indexing (including term weighting) of document自然语言处理与信息检索共享平台7g_#c#PP h
collections, methods for computing the similarity of queries and documents,自然语言处理与信息检索共享平台)xWZM;q q|[(DBg
classification and routing of documents in an incoming stream to users on the basis自然语言处理与信息检索共享平台v3Km Y5y
of topic or need statements, clustering of document collections on the basis of language自然语言处理与信息检索共享平台\"l^VA,g&j
or topic, and statistical, probabilistic, and semantic methods of analyzing and
^4U2w;O!i ^8y:Fr F;m0z4D0retrieving documents.自然语言处理与信息检索共享平台aH/LF4P&L0Vf

2I-E"S@8P5SVU3E7~E0 information-retrieval-a-survey.pdf(1.07 MB)

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TAG: retrieval information survey
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